2017
DOI: 10.1587/transinf.2017pal0003
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Low Cost and Fault Tolerant Parallel Computing Using Stochastic Two-Dimensional Finite State Machine

Abstract: SUMMARYHardware implementation of neural networks usually have high computational complexity that increase exponentially with the size of a circuit, leading to more uncertain and unreliable circuit performance. This letter presents a novel Radial Basis Function (RBF) neural network based on parallel fault tolerant stochastic computing, in which number is converted from deterministic domain to probabilistic domain. The Gaussian RBF for middle layer neuron is implemented using stochastic structure that reduce th… Show more

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